Congratulations to Jungkyu Park on a successful defense of his doctoral dissertation in biomedical imaging and technology at NYU Grossman School of Medicine.
Tag: Breast Imaging
The fastMRI dataset now includes curated breast MRI data to boost AI innovation in radial, dynamic contrast-enhanced, ultrafast MRI of the breast.
Yiqiu “Artie” Shen, machine learning researcher who develops artificial intelligence systems for medical imaging, talks about AI’s ability to explain itself, guide discovery, and predict cancer risk.
Recent research shows that sodium MRI can predict cancer response to chemotherapy. The National Cancer Institute is funding NYU Grossman School of Medicine to develop and validate the method.
Krzysztof Geras and Jan Witowski, machine learning researchers in medical imaging, talk about understanding one’s data, working across disciplines, and radiologists’ “new colleague.”
A combination of radiologists and AI reduced overdiagnosis and more accurately identified breast cancer in ultrasound exams.
NYU Langone researchers won a deep learning challenge to detect lesions in digital breast tomosynthesis (DBT) images. We discuss the obstacles that DBT poses to deep learning and look at how our team navigated them.